Finding the Sweet Spot in ERLIC Mobile Phase for Simultaneous Enrichment of N-glyco and Phospho- Peptides

• Published in: Journal of the American Society for Mass Spectrometry Vol. 30; no. 12; pp. 2491 - 2501
• Main Authors: Cui, Yusi, Yang, Ka, Tabang, Dylan Nicholas, Huang, Junfeng, Tang, Weiping, Li, Lingjun
• Format: Journal Article
• Language: English
• Published: 08.07.2019
• ISSN: 1044-0305; 1879-1123
• DOI: 10.1007/s13361-019-02230-6

Simultaneous enrichment of glyco- and phospho- peptides will benefit the studies of biological processes regulated by these post-translational modifications (PTMs). It will also reveal potential crosstalk between these two ubiquitous PTMs. Unlike custom designed multifunctional solid phase extraction (SPE) materials, operating strong-anion exchange (SAX) resin in electrostatic repulsion-hydrophilic interaction chromatography (ERLIC) mode provides a readily available strategy to analytical labs for enrichment of these PTMs for subsequent mass spectrometry (MS)-based characterization. However, the choice of mobile phase has largely relied on empirical rules from hydrophilic interaction chromatography (HILIC) or ion-exchange chromatography (IEX) without further optimization and adjustments. In this study, ten mobile phase compositions of ERLIC were systematically compared; the impact of multiple factors including organic phase proportion, ion pairing reagent, pH and salt on the retention of glycosylated and phosphorylated peptides were evaluated. This study demonstrated good enrichment of glyco- and phospho- peptides from the nonmodified peptides in a complex tryptic digest. Moreover, the enriched glyco- and phospho- peptides elute in different fractions by orthogonal retention mechanisms of hydrophilic interaction and electrostatic interaction in ERLIC, maximizing the LC-MS identification of each PTM. The optimized mobile phase can be adapted to the ERLIC HPLC system, where the high resolution in separating multiple PTMs will benefit large-scale MS-based PTM profiling and in-depth characterization.